[1]Liu K, Song C, Zhao S, Wang J, Chen T, Zhan P, Fan C, Zhu J. Mapping inundated bathymetry for estimating lake water storage changes from SRTM DEM: A global investigation[J]. Remote Sensing of Environment, 2024, 301: 113960.
[2]Yang J, Lu H, Ma Z, Lu Y, Wang W, Zhu J, Wu C, Zhu H, Chen M, Sun Y. Predicting CO2 emissions through partitioned land use change simulations considering urban hierarchy[J]. International Journal of Digital Earth, 2024, 17(1): 2405541.
[3]Zhu J, Zhu M, Na J, Lang Z, Lu Y, Yang J. Incorporation of Spatially Heterogeneous Area Partitioning into Vector-Based Cellular Automata for Simulating Urban Land-Use Changes[J]. Land, 2023, 12(10): 1893.
[4]Yang J, Sun Y, Zhu J, Song S. Simulating urban land‐use change based on the multi‐hierarchal planning–environment interaction process[J]. Transactions in GIS, 2023, 27(1): 152-175.
[5] Yang J, Zhu X, Chen W, Sun Y, Zhu J. Modeling land-use change using partitioned vector cellular automata while considering urban spatial structure[J]. Environment and Planning B: Urban Analytics and City Science, 2023, 50(8): 2273-2293.
[6]Zhu J, Lang Z, Yang J, Wang M, Zheng J, Na J. Integrating spatial heterogeneity to identify the urban fringe area based on NPP/VIIRS nighttime light data and dual spatial clustering[J]. Remote Sensing, 2022, 14(23): 6126.
[7]Yang J, Dong J, Sun Y, Zhu J, Huang Y, Yang S. A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data[J]. International Journal of Geographical Information Science, 2022, 36(1): 114-136.
[8] Zhang L, Na J, Zhu J, Shi Z, Zou C, Yang L. Spatiotemporal causal convolutional network for forecasting hourly PM2. 5 concentrations in Beijing, China[J]. Computers & Geosciences, 2021, 155: 104869.
[9] Zhu J, Sun Y, Song S, Yang J, Ding H. Cellular automata for simulating land-use change with a constrained irregular space representation: A case study in Nanjing city, China[J]. Environment and Planning B: Urban Analytics and City Science, 2021, 48(7): 1841-1859.
[10] Zhu J, Zheng J, Di S, Wang S Yang J. A dual spatial clustering method in the presence of heterogeneity and noise[J]. Transactions in GIS, 2020, 24(6): 1799-1826.
[11] 朱杰,朱梦瑶,宋书颖, 丁远，陈丽，朱学明，孙毅中. 顾及存量更新与增量发展不均速率的城市空间增长模拟研究[J]. 地球信息科学学报,2024,26(8):1858-1879.
[12] 孙毅中,杨静,宋书颖, 朱杰,戴俊杰. 多层次矢量元胞自动机建模及土地利用变化模拟[J]. 地理学报,2020,75(10):2164-2179.
[13] 朱杰，孙毅中. 多约束的平面点集形状重构方法[J]. 测绘学报, 2017, 46(2):253-264.
[14] 朱杰，孙毅中，李吉龙. 面向属性空间分布特征的空间聚类方法[J].遥感学报, 2017,21(6): 917-927.
[15] 朱杰,孙毅中,陈律余,周卫，孟耀伟. 顾及属性空间分布不均的空间聚类方法——以城市商业中心的提取为例[J]. 武汉大学学报（信息科学版）,2017,42(12):1696-1702.
